Economic dispatch of microgrid considering fuzzy control based storage battery charging and discharging

Abstract

This paper studied the economic dispatching of a small-scale microgrid which contains the wind turbine (WT), photovoltaic cell (PV), microturbine (MT), diesel engine (DE), fuel cells (FC) and storage batteries. First, on the premise of making full use of the distributed power of WT and PV, according to the real-time capacity of the battery and the net load of the micro-grid system, the storage battery charging and discharging power has been obtained based on the fuzzy control theory. And then, with the goal of operating cost and the lowest cost of pollutant treatment, an economic model was proposed by considering the impact of micro-grid economic dispatch from the time-of-use electricity price mechanism. The model takes into account equipment maintenance costs, energy interaction costs between micro-grid and large grid and the cost of pollutant treatment of each distributed power source and large power grid. The genetic algorithm (GA) is adopted to solve the optimal output of each distributed power source when the optimization targets have been met. Finally, the feasibility and correctness of the proposed model and strategy are verified by a daily dispatching of a typical microgrid.